Intern in Data Science at BMW Group working on data analysis and machine learning models for supply chain improvements. Collaborating with experts to develop innovative solutions using AI.
About the role
- Senior Director of Data Science at Worldpay leading the strategy for intelligent transaction routing and pricing optimization. Overseeing a team of data scientists to enhance transaction approval rates and optimize fees.
Responsibilities
- Own the data science roadmap for dynamic routing and interchange optimization across U.S. domestic, cross-border payment flows, and extension of dynamic routing globally.
- Build and deploy ML/AI models that inform routing decisions based on issuer behavior, cost structures, geo/location, network rules and eligibility, and approval likelihood.
- Develop scalable, low-latency algorithms integrated into real-time payment decisioning engines.
- Design and validate experiments to quantify the financial impact of routing and interchange strategies (e.g., A/B tests, multi-armed bandits).
- Model complex cost structures (interchange, scheme fees, FX margins) to recommend optimal routing paths for each transaction.
- Build, lead, and mentor a multidisciplinary team of ~15 data scientists and data analysts.
- Collaborate with Product and Global Network Partnership teams to align optimization strategies with commercial agreements and market coverage.
- Communicate complex analytical concepts to non-technical stakeholders effectively.
Requirements
- Deep experience in payments, fintech, or financial transaction optimization required.
- Deep understanding of global regulatory frameworks that impact transaction routing (e.g. U.S. Durbin Amendment).
- Excellent understanding of global interchange systems, scheme fee structures, and cross-border routing economics.
- Strong applied knowledge of ML/AI, optimization, and decision science techniques.
- Proficiency in Python, SQL, and Spark.
- Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, Engineering, or related field.
- 10 years of experience in data science or analytics, with at least 5 years in a leadership role.
Benefits
- Competitive compensation
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